Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews

SD Tagliaferri, M Angelova, X Zhao, PJ Owen… - NPJ digital …, 2020 - nature.com
Artificial intelligence and machine learning (AI/ML) could enhance the ability to detect
patterns of clinical characteristics in low-back pain (LBP) and guide treatment. We …

Advancing practice for back pain through stratified care (STarT Back)

G Sowden, JC Hill, L Morso, Q Louw… - Brazilian Journal of …, 2018 - Elsevier
Background Low back pain (LBP) is common, however research comparing the
effectiveness of different treatments over the last two decades conclude either no or small …

Age, education and gender effects on Wisconsin card sorting test: standardization, reliability and validity in healthy Argentinian adults

AR Miranda, J Franchetto Sierra… - Aging …, 2020 - Taylor & Francis
ABSTRACT The Wisconsin Card Sorting Test (WCST) is a widely used neuropsychological
assessment of executive functioning. The aim of this study was to provide norm values and …

Physical therapists' ability to identify psychological factors and their self-reported competence to manage chronic low back pain

E Brunner, W Dankaerts, A Meichtry… - Physical …, 2018 - academic.oup.com
Background In the management of chronic low back pain (LBP), identifying and managing
more patients who are at high risk and who have psychological barriers to recovery is …

Validation of the German version of the STarT-Back Tool (STarT-G): a cohort study with patients from primary care practices

S Karstens, K Krug, JC Hill, C Stock… - BMC musculoskeletal …, 2015 - Springer
Background Current research emphasizes the high prevalence and costs of low back pain
(LBP). The STarT Back Tool was designed to support primary care decision making for …

Validation of the German version of the STarT-MSK-Tool: A cohort study with patients from physiotherapy clinics

S Karstens, J Zebisch, J Wey, R Hilfiker, JC Hill - Plos one, 2022 - journals.plos.org
Background The STarT-MSK-Tool is an adaptation of the well established STarT-Back-Tool,
used to risk-stratify patients with a wider range of musculoskeletal presentations. Objective …

Can primary care for back and/or neck pain in the Netherlands benefit from stratification for risk groups according to the STarT back tool classification?

JD Bier, JJW Sandee-Geurts, RWJG Ostelo… - Archives of physical …, 2018 - Elsevier
Objective To evaluate whether current Dutch primary care clinicians offer tailored treatment
to patients with low back pain (LBP) or neck pain (NP) according to their risk stratification …

Association of STarT Back Tool and the short form of the Örebro Musculoskeletal Pain Screening Questionnaire with multidimensional risk factors

AS Simula, O Ruokolainen, P Oura, M Lausmaa… - Scientific reports, 2020 - nature.com
The Short form of the Örebro Musculoskeletal Pain Screening Questionnaire (ÖMPSQ-short)
and the STarT Back Tool (SBT) have been developed to screen for risk factors for future low …

Clinical decision support tools for selecting interventions for patients with disabling musculoskeletal disorders: a sco** review

DP Gross, S Armijo-Olivo, WS Shaw… - Journal of occupational …, 2016 - Springer
Purpose We aimed to identify and inventory clinical decision support (CDS) tools for hel**
front-line staff select interventions for patients with musculoskeletal (MSK) disorders …

Stratifying workers on sick leave due to musculoskeletal pain: translation, cross-cultural adaptation and construct validity of the Norwegian Keele STarT MSK tool

T Rysstad, M Grotle, L Aasdahl, JC Hill… - … Journal of Pain, 2022 - degruyter.com
Objectives Stratified care using prognostic models to estimate the risk profiles of patients has
been increasing. A refined version of the popular STarT Back tool, the Keele STarT MSK …